Ciro Santilli @cirosantilli 40

Do you know what is worse than XML? Pseudo XML: stackoverflow.com/questions/5558502/is-html5-valid-xml/39560454#39560454

The good:

The bad:

When it exists, which is not for all matrices, only invertible matrix, the inverse is denoted:

TODO examples:

Microwave only found applications into the 1940s and 1950s, much later than radio, because good enough sources were harder to develop.

One notable development was the cavity magnetron in 1940, which was the basis for the original radar systems of World War II.

Sometimes you are really certain that something is a required substep for another thing that is coming right afterwards.

When things are this concrete, fine, just do the substep.

But you have to always beware of cases where "I'm sure this will be needed at some unspecified point in the future", because such points tends to never happen.

YAGNI is so fundamental, there are several closely related concepts to it:

Many hits appear to happen on the same days, and per-day data does exist: archive.org/details/widecrawl but apparently cannot be publicly downloaded unfortunately. But maybe there's another way? TODO select candidates.

Receptor in SARS-CoV-2 cell entry.

2022-02: Kiea Barlast floor lamp: www.ikea.com/gb/en/p/barlast-floor-lamp-black-white-50437810 Bulb: LED bulb E27 globe opal white.

Table: web.archive.org/web/20210718034540/https://www.westelm.com/weimgs/rk/images/i/201644/0004/images/pdf/assembly-instructions/english/mid_century_expandable_dining_table_medium_large.pdf

TODO original experiment?

Laughlin paper: 1981 Quantized Hall conductivity in two dimensions.

Shows a cool new type of matter: Abelian anyons.

Ah, the jewel of computational physics.

Also known as an ab initio method: no experimental measurement is taken as input, QED is all you need.

But since QED is thought to fully describe all relevant aspects molecules, it could be called "the" ab initio method.

For one, if we were able to predict protein molecule interactions, our understanding of molecular biology technologies would be solved.

No more ultra expensive and complicated X-ray crystallography or cryogenic electron microscopy.

And the fact that quantum computers are one of the most promising advances to this field, is also very very exciting: Section "Quantum algorithm".